Advances in machine learning and neuroscience have helped make great strides in computer vision. But we still have a long way to go before we can build AI systems that see the world as we do.

A while ago, while browsing through the latest AI news, I stumbled upon a company that claimed to use “machine learning and advanced artificial intelligence” to collect and analyze hundreds of ...

Mathematical optimization and machine learning are two tools that, at first glance, may seem to have a lot in common.

As computer systems become smarter than humans, we should learn the difference between our new overlords.

We hear a lot about artificial intelligence (AI), machine learning and digital assistants these days. But what does it all mean?

Biological and Computer Vision by Gabriel Kreiman explains how AI attempts to replicate how humans and animals process visual data.

Machine learning, or ML, gave us TinyML. What are the differences between the two, and what makes them unique?